Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
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Updated
Dec 18, 2018 - Python
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
<개발자를 위한 머신러닝&딥러닝> 도서의 코드 저장소
Here's the code associated with my Machine Learning (ML) based hurricane forecasting system
Example to load, train, and evaluate ImageNet2012 dataset on a Keras model
Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images
An image augmentation library for tensorflow. It can be used seamlessly with tf.data.Dataset
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Convolutional Denoising Autoencoder for low light image denoising
Multi-task classification project, with the custom training loop implemented from scratch in TF 2.2+ and the usage of "tf.data.Dataset" object for handling the data.
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A web app designed for identifying different disseases for a specific crop
A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection
A simple implementation AlexNet
German Traffic Signs Classification
Streamlit Demo of CIFAR10 Data Classifiers
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